humanleague
Synthetic Population Generator
Generates high-entropy integer synthetic populations from marginal and (optionally) seed data using quasirandom sampling, in arbitrary dimensionality (Smith, Lovelace and Birkin (2017) doi:10.18564/jasss.3550). The package also provides an implementation of the Iterative Proportional Fitting (IPF) algorithm (Zaloznik (2011) doi:10.13140/2.1.2480.9923).
- Version2.3.2
- R versionunknown
- LicenseMIT
- LicenseLICENCE
- Needs compilation?Yes
- Last release10/23/2024
Team
Andrew Smith
MaintainerShow author detailsMassachusetts Institute of Technology
Show author detailsRolesCopyright holderSteven Johnson
Show author detailsRolesContributorJohn Burkhardt
Show author detailsRolesContributor, Copyright holderG Bhattacharjee
Show author detailsRolesContributor
Insights
Last 30 days
This package has been downloaded 664 times in the last 30 days. This could be a paper that people cite without reading. Reaching the medium popularity echelon is no small feat! The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 43 times.
The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.
Last 365 days
This package has been downloaded 4,970 times in the last 365 days. Now we’re talking! This work is officially 'heard of in academic circles', just like those wild research papers on synthetic bananas. The day with the most downloads was Feb 20, 2025 with 67 downloads.
The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.
Data provided by CRAN
Binaries
Dependencies
- Imports1 package
- Suggests1 package
- Linking To1 package